MAST20031 - Analysis of Biological Data Notes

Description

This is a comprehensive compilation of information from MAST20031 lectures, the textbook, tutorials, practicals, workshops, problem booklets and other useful sources I found online to aid my study. Each section (particularly the harder concepts) is supported by easy to read and understand dot points, diagrams, pictures and thorough example exam-style questions. Includes all summarised formulae required to know for each topic. Topics included are: 1. Summary statistics, types of data 2. Probability models 3. Sampling and estimation 4. Principles of frequentist inference (one sample t-tests, two-sample t-tests, hypothesis testing) 5. Design of biological experiments 6. Linear models (regression) 7. Multiple linear regression (interaction) 8. General linear models (logistic regression) 9. Model selection (AIC, BIC, cross-validation) 10. Bayesian inference